Machine Learning

Epidemiology and a Predictive Model of Prognosis Index Based on Machine Learning in Primary Breast Lymphoma: Population-Based Study

Yushuai Yu, Zelin Xu, Tinglei Shao, Kaiyan Huang, Ruiliang Chen, Xiaoqin Yu, Jie Zhang, Hui Han, Chuangui Song

JMIR Public Health Surveill 2023 (Jun 08); 9:e45455

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The Advent of Generative Language Models in Medical Education

Mert Karabacak, Burak Berksu Ozkara, Konstantinos Margetis, Max Wintermark, Sotirios Bisdas

JMIR Med Educ 2023 (Jun 06); 9:e48163

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Extraction of Radiological Characteristics From Free-Text Imaging Reports Using Natural Language Processing Among Patients With Ischemic and Hemorrhagic Stroke: Algorithm Development and Validation

Enshuo Hsu, Abdulaziz T Bako, Thomas Potter, Alan P Pan, Gavin W Britz, Jonika Tannous, Farhaan S Vahidy

JMIR AI 2023 (Jun 06); 2:e42884

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Prediction of Sleep Stages Via Deep Learning Using Smartphone Audio Recordings in Home Environments: Model Development and Validation

Hai Hong Tran, Jung Kyung Hong, Hyeryung Jang, Jinhwan Jung, Jongmok Kim, Joonki Hong, Minji Lee, Jeong-Whun Kim, Clete A Kushida, Dongheon Lee, Daewoo Kim, In-Young Yoon

J Med Internet Res 2023 (Jun 01); 25:e46216

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Detecting Ground Glass Opacity Features in Patients With Lung Cancer: Automated Extraction and Longitudinal Analysis via Deep Learning–Based Natural Language Processing

Kyeryoung Lee, Zongzhi Liu, Urmila Chandran, Iftekhar Kalsekar, Balaji Laxmanan, Mitchell K Higashi, Tomi Jun, Meng Ma, Minghao Li, Yun Mai, Christopher Gilman, Tongyu Wang, Lei Ai, Parag Aggarwal, Qi Pan, William Oh, Gustavo Stolovitzky, Eric Schadt, Xiaoyan Wang

JMIR AI 2023 (Jun 01); 2:e44537

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Issue of Data Imbalance on Low Birthweight Baby Outcomes Prediction and Associated Risk Factors Identification: Establishment of Benchmarking Key Machine Learning Models With Data Rebalancing Strategies

Yang Ren, Dezhi Wu, Yan Tong, Ana López-DeFede, Sarah Gareau

J Med Internet Res 2023 (May 31); 25:e44081

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Forecasting Artificial Intelligence Trends in Health Care: Systematic International Patent Analysis

Stan Benjamens, Pranavsingh Dhunnoo, Márton Görög, Bertalan Mesko

JMIR AI 2023 (May 26); 2:e47283

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Machine Learning and Causal Approaches to Predict Readmissions and Its Economic Consequences Among Canadian Patients With Heart Disease: Retrospective Study

Ethan Rajkumar, Kevin Nguyen, Sandra Radic, Jubelle Paa, Qiyang Geng

JMIR Form Res 2023 (May 26); 7:e41725

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A Scalable Radiomics- and Natural Language Processing–Based Machine Learning Pipeline to Distinguish Between Painful and Painless Thoracic Spinal Bone Metastases: Retrospective Algorithm Development and Validation Study

Hossein Naseri, Sonia Skamene, Marwan Tolba, Mame Daro Faye, Paul Ramia, Julia Khriguian, Marc David, John Kildea

JMIR AI 2023 (May 22); 2:e44779

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Using Natural Language Processing to Predict Fatal Drug Overdose From Autopsy Narrative Text: Algorithm Development and Validation Study

Leigh Anne Tang, Jessica Korona-Bailey, Dimitrios Zaras, Allison Roberts, Sutapa Mukhopadhyay, Stephen Espy, Colin G Walsh

JMIR Public Health Surveill 2023 (May 19); 9:e45246

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Development of a Prediction Model for Healthy Life Years Without Activity Limitation: National Cross-sectional Study

Masahiro Nishi, Reo Nagamitsu, Satoaki Matoba

JMIR Public Health Surveill 2023 (May 17); 9:e46634

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Continuous Data-Driven Monitoring in Critical Congenital Heart Disease: Clinical Deterioration Model Development

Ruben S Zoodsma, Rian Bosch, Thomas Alderliesten, Casper W Bollen, Teus H Kappen, Erik Koomen, Arno Siebes, Joppe Nijman

JMIR Cardio 2023 (May 16); 7:e45190

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Prediction of Chronic Stress and Protective Factors in Adults: Development of an Interpretable Prediction Model Based on XGBoost and SHAP Using National Cross-sectional DEGS1 Data

Arezoo Bozorgmehr, Birgitta Weltermann

JMIR AI 2023 (May 16); 2:e41868

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Associations Between Smartphone Keystroke Metadata and Mental Health Symptoms in Adolescents: Findings From the Future Proofing Study

Taylor A Braund, Bridianne O’Dea, Debopriyo Bal, Kate Maston, Mark Larsen, Aliza Werner-Seidler, Gabriel Tillman, Helen Christensen

JMIR Ment Health 2023 (May 15); 10:e44986

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Machine Learning Model to Predict Assignment of Therapy Homework in Behavioral Treatments: Algorithm Development and Validation

Gal Peretz, C Barr Taylor, Josef I Ruzek, Samuel Jefroykin, Shiri Sadeh-Sharvit

JMIR Form Res 2023 (May 15); 7:e45156

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Predicting Treatment Interruption Among People Living With HIV in Nigeria: Machine Learning Approach

Matthew-David Ogbechie, Christa Fischer Walker, Mu-Tien Lee, Amina Abba Gana, Abimbola Oduola, Augustine Idemudia, Matthew Edor, Emily Lark Harris, Jessica Stephens, Xiaoming Gao, Pai-Lien Chen, Navindra Etwaroo Persaud

JMIR AI 2023 (May 12); 2:e44432

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Prediction of Mental Health Problem Using Annual Student Health Survey: Machine Learning Approach

Ayako Baba, Kyosuke Bunji

JMIR Ment Health 2023 (May 10); 10:e42420

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Chinese Clinical Named Entity Recognition From Electronic Medical Records Based on Multisemantic Features by Using Robustly Optimized Bidirectional Encoder Representation From Transformers Pretraining Approach Whole Word Masking and Convolutional Neural Networks: Model Development and Validation

Weijie Wang, Xiaoying Li, Huiling Ren, Dongping Gao, An Fang

JMIR Med Inform 2023 (May 10); 11:e44597

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Evaluating Listening Performance for COVID-19 Detection by Clinicians and Machine Learning: Comparative Study

Jing Han, Marco Montagna, Andreas Grammenos, Tong Xia, Erika Bondareva, Chloë Siegele-Brown, Jagmohan Chauhan, Ting Dang, Dimitris Spathis, R Andres Floto, Pietro Cicuta, Cecilia Mascolo

J Med Internet Res 2023 (May 09); 25:e44804

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Exploring Digital Biomarkers of Illness Activity in Mood Episodes: Hypotheses Generating and Model Development Study

Gerard Anmella, Filippo Corponi, Bryan M Li, Ariadna Mas, Miriam Sanabra, Isabella Pacchiarotti, Marc Valentí, Iria Grande, Antoni Benabarre, Anna Giménez-Palomo, Marina Garriga, Isabel Agasi, Anna Bastidas, Myriam Cavero, Tabatha Fernández-Plaza, Néstor Arbelo, Miquel Bioque, Clemente García-Rizo, Norma Verdolini, Santiago Madero, Andrea Murru, Silvia Amoretti, Anabel Martínez-Aran, Victoria Ruiz, Giovanna Fico, Michele De Prisco, Vincenzo Oliva, Aleix Solanes, Joaquim Radua, Ludovic Samalin, Allan H Young, Eduard Vieta, Antonio Vergari, Diego Hidalgo-Mazzei

JMIR Mhealth Uhealth 2023 (May 04); 11:e45405

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